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| Section | Weight | Objectives |
|---|---|---|
| Connecting to and Preparing Data | 25% | - Connect to data sources
|
| Using Tableau Desktop | 25% | - Visualization building
|
| Understanding Tableau Concepts | 20% | - Core Tableau architecture
|
| Working with Data | 30% | - Data manipulation
|
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NEW QUESTION # 70
When using a data source that has relationships, how can you add a join between two or more tables?
Answer: D
Explanation:
When using a data source that has relationships, you can add a join between two or more tables by dragging a table directly on top of an existing logical table from the Tables pane. This will create a logical table that contains the joined tables. You can then edit the join type, join clauses, and join calculation as needed2 The other options are not valid ways to add a join between tables when using relationships. From the Tables pane, double-clicking a table will add it to the data source as a separate logical table, not joined with any other table. From the Connections pane, selecting Add will allow you to add another connection to the data source, not join tables within the same connection. Double-clicking a logical table in the canvas will open the Data Source page, where you can view and edit the fields in the logical table, not join it with another table2
NEW QUESTION # 71
True or False: To concatenate fields, they must be of same data type
Answer: B
Explanation:
Explanation
Yes! To concatenate fields, they must be of same data type. However, there is a workaround which we can use
- Type casting. See below:
Here, State and City are Strings, but Postal Code? Nope. It's an Integer. So we can simply use the STR() function to convert it into a String, and hence the entire equation becomes valid!
NEW QUESTION # 72
Using the dataset, create a bar chart showing the average Quantity broken down by Region, and filtered by Country to only show Japan. What was the average Quantity in the State of Tokyo?
Answer: B
Explanation:
Since we need to focus on 1 country -> Japan, let's filter on it first as follows:
1) Drag Country to the filter shelf, and choose only Japan. Click OK.
2) Read the Question Carefully, we need to break down the visualisation by Region, then by Country, and then by State. So let's do that:
Drag Region to the column shelf, followed by Country. Drill down into Country to include states as well.
Then drag Quantity to the Row Shelf, and change the Aggregation to AVERAGE.
The following is our visualisation:
Now that you think of it, EVEN IF YOU REMOVE THE REGION, THE ANSWER REMAINS THE SAME. Such elements will be present in the actual exam too, just to make the question sound a little difficult, but actually it is pretty straightforward :)
NEW QUESTION # 73
Which of the following are valid ways to show Mark Labels in the visualisation?
Answer: B,C,D
Explanation:
The following showcase how you can show mark labels. Using the Sample Superstore dataset:
1) Let's create a Bar chart showing the sales for each sub-category:
2) Now you can show labels by:
2.1) Click on Show Mark Labels Icon in the Toolbar ( easiest )
2.2) Drag Sales to the Text icon in the Marks Card:
2.3) Click on Analysis -> Show mark labels from the Tableau menu bar:
NEW QUESTION # 74
Which of the following are valid reasons to use a Tableau Data Extract (.tde) over Live Connections?
Answer: A,C,D
Explanation:
Explanation
From the official documentation, the following are the major advantages of using Tableau Data Extracts:
From Tableau 2020.2 onwards, .hyper is the recommended way since it is faster than .tde!
NEW QUESTION # 75
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